Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark
8.8 relevance
Score Breakdown
technical depth 8
novelty 8
actionability 8
community 6
strategic 7
personal 9
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Empirical multi-language benchmark for AI coding assistants with cost insights.
Summary
In a 13-language benchmark, Claude Code implemented a simplified Git (init, add, commit, log, status, diff, checkout, reset) over 600 runs. Ruby ($0.36, 73.1s), Python ($0.38, 74.6s), and JavaScript ($0.39, 81.1s) were fastest, cheapest, and most stable; static languages like Go ($0.50, 101.6s, high variance) and Rust ($0.54, test failures) lagged. Type checking (mypy, Steep, TypeScript) increased generation costs 1.6–3.2×, likely due to higher token usage for type reasoning.